Anthropic just built an AI model that found thousands of zero-day vulnerabilities across every major operating system and web browser.
And then they chose not to release it.
In this episode of What the AI?!, Jeff Keltner and Michael Lock break down Anthropic’s new model, Mythos, and why its ability to discover critical security flaws may be too powerful to deploy broadly.
Instead, Anthropic is limiting access through a controlled program, giving select partners time to fix vulnerabilities before the model reaches the public.
But this story is bigger than one model.
We also cover:
• Anthropic launching managed AI agents for enterprise workflows with partners like Notion, Asana, and Rocket
• Why companies may prefer managed AI infrastructure over building their own agents
• Meta’s new Muse model and its shift toward a closed, consumer-focused AI strategy
• AI-generated avatars that can replicate a person from just 15 seconds of video
• The growing tension between enterprise AI, open-source agents, and platform control
• OpenAI reportedly acquiring a podcast for hundreds of millions of dollars
The pattern is clear.
AI is not just getting smarter. It is becoming more capable in ways that force companies to decide what should and should not be released.
If you build software, work in security, or rely on digital systems, this raises a new question:
What happens when AI can break things faster than we can fix them?
🎧 Watch the full episode of What the AI?!
YouTube, Spotify, Apple Podcasts → https://www.whattheai.fm
Chapters
0:00 - Anthropic’s Dangerous Reveal: Claude Mythos
2:05 - Project Glass Wing: Fixing thousands of Zero-Days
8:26 - Managed Agents for the Enterprise (Notion, Asana, Rocket)
13:20 - Meta’s Muse Spark: The End of Open Source Llama?
18:43 - HeyGen Avatar 5: Creepily Good AI Video
24:01 - Anthropic Boots Open Source (The Open-Claw Problem)
26:33 - OpenAI’s $100M Media Play: Why Buy a Podcast?
28:53 - The Golden Rule: Don't Suck
#AI #Anthropic #Cybersecurity #ZeroDay #AIAgents #WhatTheAIPod
